Integration of Controls and Diagnostics using Neural Networks
I. K. Konstantopoulos and P. J. Antsaklis
Proceedings of the 1994 American Control Conference, pp. 1717-1721, Baltimore, MD, June 29 -July 1, 1994.
Abstract -- Controllers capable of performing failure diagnosis have additional
diagnostic outputs to detect and isolate sensor and actuator faults. A linear
such controller is usually called a four-parameter controller. In this paper,
a neural network model of a controller with diagnostic capabilities (CDC) is
presented for the first time. This nonlinear neural controller is trained to
operate as a traditional controller, while at the same time it provides
reproduction of the failure occurring either at the actuator or the sensor. The
cases of actuator and sensor failures are studied independently. Several
simulation results concerning a nonlinear plant are provided.
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